Penghang Yu

According to our database, Penghang Yu authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

LD4MRec: simplifying and powering diffusion model for multimedia recommendation.

Jiarui Zhu, Jun Hou, Penghang Yu, Zhiyi Tan, Bing-Kun Bao

Multim. Syst., October, 2025

TIM: A Large-Scale Dataset and large Timeline Intelligence Model for Open-domain Timeline Summarization.

Chuanrui Hu, Wei Hu, Penghang Yu, Hua Zhang, Bing-Kun Bao

CoRR, June, 2025

ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models.

Bin Chen, Xinzge Gao, Chuanrui Hu, Penghang Yu, Hua Zhang, Bing-Kun Bao

CoRR, June, 2025

Mind Individual Information! Principal Graph Learning for Multimedia Recommendation.

Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation.

Qile Fan, Penghang Yu, Zhiyi Tan, Bing-Kun Bao, Guanming Lu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improving Graph Collaborative Filtering with Directional Behavior Enhanced Contrastive Learning.

Penghang Yu, Bing-Kun Bao, Zhiyi Tan, Guanming Lu

ACM Trans. Knowl. Discov. Data, September, 2024

2023

LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation.

Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao

CoRR, 2023

Multi-View Graph Convolutional Network for Multimedia Recommendation.

Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao

Proceedings of the 31st ACM International Conference on Multimedia, 2023